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Maximum Entropy: Clearing up Mysteries
Entropy, 2001 : There are several mystifications and a couple of mysteries pertinent to MaxEnt. The mystifications, pitfalls and traps are set up mainly by an unfortunate formulation of Jaynes' die problem, the cause célèbre of MaxEnt.
Marian Grendár +1 more
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Maximum Entropy in Drug Discovery
Entropy, 2014 Drug discovery applies multidisciplinary approaches either experimentally, computationally or both ways to identify lead compounds to treat various diseases. While conventional approaches have yielded many US Food and Drug Administration (FDA)-approved
Chih-Yuan Tseng, Jack Tuszynski
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On Maximum Entropy and Inference
Entropy, 2017 Maximum entropy is a powerful concept that entails a sharp separation between relevant and irrelevant variables. It is typically invoked in inference, once an assumption is made on what the relevant variables are, in order to estimate a model from data ...
Luigi Gresele, Matteo Marsili
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Maximum-entropy image reconstruction using wavelets [PDF]
, 2003 Wavelet functions allow the sparse and efficient representation of a signal at different scales. Recently the application of wavelets to the denoising of maps of cosmic microwave background (CMB) fluctuations has been proposed. The maximum-entropy method
Hobson, M. P. +2 more
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Maximum Entropy on Compact Groups
Entropy, 2009 In a compact group the Haar probability measure plays the role of uniform distribution. The entropy and rate distortion theory for this uniform distribution is studied.
Peter Harremoës
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Quantum Probabilities and Maximum Entropy
Entropy, 2017 Probabilities in quantum physics can be shown to originate from a maximum entropy principle.
Andreas Schlatter
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Optimal taxation policy maximum-entropy approach [PDF]
Yugoslav Journal of Operations Research, 2003 The object of this paper is firstly to present entropic measure of income inequality and secondly to develop maximum entropy approaches for the optimal reduction of income inequality through taxation. .
Jana P., Mazumder S.K., Das N.C.
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A Weighted Generalized Maximum Entropy Estimator with a Data-driven Weight
Entropy, 2009 The method of Generalized Maximum Entropy (GME), proposed in Golan, Judge and Miller (1996), is an information-theoretic approach that is robust to multicolinearity problem.
Ximing Wu
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Nested Maximum Entropy Designs for Computer Experiments
Mathematics, 2023 Presently, computer experiments with multiple levels of accuracy are widely applied in science and engineering. This paper introduces a class of nested maximum entropy designs for such computer experiments.
Weiyan Mu, Chengxin Liu, Shifeng Xiong
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Maximum entropy, fluctuations and priors
, 2000 The method of maximum entropy (ME) is extended to address the following problem: Once one accepts that the ME distribution is to be preferred over all others, the question is to what extent are distributions with lower entropy supposed to be ruled out ...
Caticha, Ariel
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